Clera
Platform Engineer (Kubernetes)
About this role
An early-stage cloud-native startup seeks a Platform Engineer to design and build abstractions over Kubernetes, making multi-cluster management accessible to developers. You'll develop core platform features, GitOps workflows, and infrastructure components using Go, Terraform, and cloud-native tools while working closely with the founding team.
What you'll do
- Build Kubernetes operators and controllers in Go for core platform features
- Design GitOps workflows using ArgoCD for automated continuous deployment
- Develop infrastructure-as-code with Terraform and Helm for cluster provisioning
- Implement observability systems using Prometheus and Grafana for cluster monitoring
- Work on distributed storage and container networking with Ceph, WEKA, and Cilium
- Design federated multi-cluster architectures and automation tooling to reduce operational overhead
What they're looking for
- Go programming
- Kubernetes expertise
- ArgoCD and CI/CD pipelines
- Terraform and Helm
- AWS, GCP, or Azure cloud platforms
- Container networking and cloud-native architecture
- Prometheus and Grafana
- Infrastructure automation
Benefits
- Salary: $150,000–$200,000 USD annually
- Visa sponsorship available
- Early-stage startup with high-impact contributions
- Direct influence on product and architecture decisions
- On-site position in San Francisco
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a Go project where you built a Kubernetes operator or controller. What was the use case, and what challenges did you face?
- Describe your experience setting up and managing ArgoCD workflows. How have you used GitOps to improve deployment automation?